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NTIS 바로가기Journal of the Korean Data & Information Science Society = 한국데이터정보과학회지, v.26 no.4, 2015년, pp.957 - 970
김세형 (충북대학교 체육측정평가)
The purpose of this study was to analyze records of Korean pro-basketball using general linear model (two-way ANOVA and hierarchical multiple regression analysis). Korea Basketball League (KBL) informed the records (2014-2015 season) of this study. The eight variables (TA, 2PA, 3PA, 2P, 3P, Ast, TFB...
핵심어 | 질문 | 논문에서 추출한 답변 |
---|---|---|
일반선형모형은 무엇인가? | 일반선형모형 (general linear moded; GLM)은 회귀분석이나 변량분석 기초모형을 일반화한 중다회귀분석, 다변량분석, 공분산분석 등 많은 분석을 대표하는 수법이라고 할 수 있다 (No, 2014). 그동안 게재된 한국남자프로농구 승패결정요인분석 연구들 중에서 승패 집단간 각 변수의 차이를 검증하기위해 일원변량분석을 적용한 연구들은 일반선형모형 연구라고 할 수 있다. | |
본연구에서 일반선형모형에 two-way ANOVA를 적용하여 무엇을 제안할 수 있는가? | 다시말하면, 승패와 홈원정경기에 따른 각 변인들에 통계적 차이검증을 위해 일반선형모형에 이원변량분석 (two-way ANOVA)을 적용할 수 있다. 이원변량분석을 통해 승패집단간, 홈원정경기간 차이뿐만아니라 두 변인에 조절효과 (상호작용효과)가 통계적으로 유의한지에 대한 정보 또한 제안할 수 있다. 또한 통계적으로 한경기에 최종점수 (TS)에 통계적으로 유의한 영향을 미치는 변인들이 무엇인지 일반선형모형에 중다회귀분석을 적용할 수 있다. | |
한국농구연맹에서는 어떠한 변인들이 측정 및 공개되는가? | 그렇다면 현재 측정, 공개되는 자료를 통해 그동안 이루어진 승패결정요인 분석 이외에 일반선형모형을 적용한 의미있는 경기기록 분석설계는 어떠한가. 우선 현재 한국농구연맹에서 27개 (TS, 2P, 2PA, 2P%, 3P, 3PA, 3P%, FG%, FT, FTA FT%, DK, Off, Def, Ast, Stl, TO, GD, BS, w/FT, w/oFT, TF, TR, TFB, TTO, PP, CH)의 변인들이 측정, 공개되고 있다. |
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